SKILLEMALL.ai

AC weight-loss-planner

智能减肥计划生成器。根据用户的体重、身高、年龄、性别、目标体重、计划周期和运动偏好,生成个性化的每日饮食计划和运动计划。适用于任何想要健康减肥的人。触发条件:用户提到减肥、减脂、瘦身、体重管理、健身计划、饮食计划、卡路里计算、BMI计算等相关话题时使用。

ClawHub Agent Skills author: smallKeyboy v1.0.0 MIT-0 4 files body ≈ 746 tokens Open the sourceclawhub.ai analyzed 2 d ago

智能减肥计划生成器。根据用户的体重、身高、年龄、性别、目标体重、计划周期和运动偏好,生成个性化的每日饮食计划和运动计划。适用于任何想要健康减肥的人。触发条件:用户提到减肥、减脂、瘦身、体重管理、健身计划、饮食计划、卡路里计算、BMI计算等相关话题时使用。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 746 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 127: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This weight-loss skill is mostly coherent, but it should be reviewed because it can provide detailed diet and exercise plans without enough medical screening or safety boundaries.
LLM: suspicious (medium) · 28 May 2026